Re-posting this blog from my other blog on Analytics (http://allthingsbusinessanalytics.blogspot.com/)Did Netflix make a bad move or a bold move, only time will tell but for now here is a simple sentiment analysis using R and TwitteR pac...
Posts Tagged ‘ Geocoding ’
Updated Sentiment Analysis and a Word Cloud for Netflix – The R Way!
The Netflix investors must be happy and cheerful as the stock is up more than 78% since the beginning of the year (YES, 78%, Source: Yahoo Finance!). I am not going to talk about what turned the stock around after a much talked/hyp...
..A Quick Geo-Trick for GoogleMaps in R (using dismo)
... I thought this geocoding-bit might be worth to share (found HERE when searching the web for dismo-documentation).Read more »
My first R package: zipcode
My first package, zipcode, is now available on CRAN. It contains the CivicSpace database of 43,191 U.S. zip codes.
Incremental improvements to Nightlights mapping thanks to R-Bloggers
The R community is very generous and collaborative. This post walks through the suggestions left by commenters to my previous post on Steve Mosher's Nightlights work, and show the resulting much-improved output.
Nightlights: cool data, bad geocoding
A global source of population density has been on my low-priority wish list for some time, so I was very excited when I found Steve Mosher’s work with the Nighlights data set. “Nightlights” refers to the artificial lights seen from space at night. Astronomers call it “light pollution” which is pretty accurate since it’s decidedly 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
